Title |
KONAGAbase: a genomic and transcriptomic database for the diamondback moth, Plutella xylostella
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Published in |
BMC Genomics, July 2013
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DOI | 10.1186/1471-2164-14-464 |
Pubmed ID | |
Authors |
Akiya Jouraku, Kimiko Yamamoto, Seigo Kuwazaki, Masahiro Urio, Yoshitaka Suetsugu, Junko Narukawa, Kazuhisa Miyamoto, Kanako Kurita, Hiroyuki Kanamori, Yuichi Katayose, Takashi Matsumoto, Hiroaki Noda |
Abstract |
The diamondback moth (DBM), Plutella xylostella, is one of the most harmful insect pests for crucifer crops worldwide. DBM has rapidly evolved high resistance to most conventional insecticides such as pyrethroids, organophosphates, fipronil, spinosad, Bacillus thuringiensis, and diamides. Therefore, it is important to develop genomic and transcriptomic DBM resources for analysis of genes related to insecticide resistance, both to clarify the mechanism of resistance of DBM and to facilitate the development of insecticides with a novel mode of action for more effective and environmentally less harmful insecticide rotation. To contribute to this goal, we developed KONAGAbase, a genomic and transcriptomic database for DBM (KONAGA is the Japanese word for DBM). |
X Demographics
Geographical breakdown
Country | Count | As % |
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France | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Netherlands | 2 | 3% |
Japan | 1 | 2% |
Brazil | 1 | 2% |
Unknown | 60 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 16 | 25% |
Researcher | 12 | 19% |
Student > Master | 10 | 16% |
Student > Bachelor | 5 | 8% |
Professor | 4 | 6% |
Other | 6 | 9% |
Unknown | 11 | 17% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 25 | 39% |
Biochemistry, Genetics and Molecular Biology | 12 | 19% |
Environmental Science | 2 | 3% |
Engineering | 2 | 3% |
Immunology and Microbiology | 1 | 2% |
Other | 3 | 5% |
Unknown | 19 | 30% |